code: def _ffn_activation_gelu():
      """
      ### GELU activation
  
      $$x \Phi(x)$$ where $\Phi(x) = P(X \le x), X \sim \mathcal{N}(0,1)$
  
      It was introduced in paper [Gaussian Error Linear Units](https://arxiv.org/abs/1606.08415).
      """
      return nn.GELU()
  
imports: import copy
  import torch.nn
  from labml.configs import BaseConfigs, option, calculate, aggregate
  from labml_helpers.module import Module
  from .feed_forward import FeedForward
  from .mha import MultiHeadAttention
  from .models import EmbeddingsWithPositionalEncoding, EmbeddingsWithLearnedPositionalEncoding, TransformerLayer, Encoder, Decoder, Generator, EncoderDecoder
label_desc: Use image node_id 2 for calling a global function with example usage: _ffn_activation_gelu() and returns: nn